Guide methodological decisions related to study design, causal inference, quasi-experimental ... Role is contingent upon contract award What You Will Need: * Must be a U.S. Citizen or Permanent ...
Guide methodological decisions related to study design, causal inference, quasi-experimental ... Role is contingent upon contract award What You Will Need: * Must be a U.S. Citizen or Permanent ...
Epidemiologist Data Scientist
$80K - $133K/yr
Role is contingent upon contract award What You Will Need: * Must be a U.S. Citizen or Permanent ... Experience with survey data, weighting methodologies, causal inference, or advanced statistical ...
Epidemiologist Data Scientist
$80K - $133K/yr
Role is contingent upon contract award What You Will Need: * Must be a U.S. Citizen or Permanent ... Experience with survey data, weighting methodologies, causal inference, or advanced statistical ...
LSAT Logical Reasoning Tutor
Huntsville, AL · Remote
$26 - $40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Huntsville, AL · Remote
$26 - $40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
Contract Causal Inference information
What is a contract causal inference specialist?
A Contract Causal Inference specialist is a professional who applies statistical and analytical methods to determine cause-and-effect relationships within data, typically on a contractual or project basis. These specialists are often brought in to analyze business, healthcare, or social science data to help organizations make evidence-based decisions. They use techniques such as randomized controlled trials, regression analysis, and propensity score matching to isolate causal impacts. Contract roles are usually temporary and focused on specific projects or questions. This position requires strong statistical knowledge, programming skills, and the ability to communicate findings to non-technical stakeholders.
What are the key skills and qualifications needed to thrive as a contract causal inference specialist?
To thrive as a Contract Causal Inference Specialist, you need a strong background in statistics, econometrics, or data science, typically with an advanced degree in a quantitative field. Proficiency with statistical software like R, Python, and specialized causal inference packages, as well as experience with data wrangling tools, is essential. Exceptional analytical thinking, clear communication, and attention to detail are valuable soft skills for interpreting results and collaborating with clients. These competencies are vital for delivering robust, actionable insights that drive evidence-based decision-making in a contractual setting.
What are some common challenges faced by professionals in contract causal inference roles, and how can they be addressed?
Professionals in contract causal inference roles often encounter challenges such as working with incomplete or messy datasets, ensuring the validity of assumptions in causal models, and effectively communicating complex findings to stakeholders. Addressing these issues typically involves using robust statistical techniques, performing thorough data cleaning, and engaging in transparent documentation of the modeling process. Additionally, collaborating closely with subject matter experts and stakeholders can help clarify project goals and improve the relevance and impact of your analyses.
What is the difference between Contract Causal Inference vs Data Analyst?
| Aspect | Contract Causal Inference | Data Analyst |
|---|---|---|
| Required Credentials | Statistics, Data Science, or related certifications; often advanced degrees | Bachelor's or Master's in Data Science, Statistics, or related fields |
| Work Environment | Research-focused, project-based, often in consulting or academia | Business environments, analyzing data to inform decisions |
| Employer & Industry Usage | Research institutions, consulting firms, tech companies | Corporations, marketing agencies, finance, healthcare |
| Search & Comparison Intent | Understanding causal relationships, research projects | Data analysis, reporting, business insights |
Contract Causal Inference specialists focus on identifying cause-and-effect relationships through research and statistical methods, often in consulting or academic settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Contract Causal Inference emphasizes causal modeling and research, whereas Data Analysts focus on descriptive and diagnostic analysis.
What are the most commonly searched types of Causal Inference jobs in Huntsville, AL?
The most popular types of Causal Inference jobs in Huntsville, AL are:
What are popular job titles related to Contract Causal Inference jobs in Huntsville, AL?
For Contract Causal Inference jobs in Huntsville, AL, the most frequently searched job titles are:
What job categories do people searching Contract Causal Inference jobs in Huntsville, AL look for?
The top searched job categories for Contract Causal Inference jobs in Huntsville, AL are:
Full-time
Medical, Dental, Vision, Life, Retirement
Posted 10 days ago
Guidehouse rating
8.0
Based on 28 frontline employees who took The Breakroom Quiz
33rd of 72 rated business consultants
Job description
Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
What You Will Do:
Guidehouse is seeking a Biostatistics Lead to provide technical leadership and oversight across statistical analysis, study methodology, surveillance analytics, program evaluation, and research efforts within our Health AI/Data practice. This individual will serve as the senior statistical authority responsible for ensuring methodological rigor, analytical quality, reproducibility, and scientific defensibility across complex public health and healthcare analytics initiatives. The Biostatistics Lead will collaborate closely with epidemiologists, data scientists, informaticists, and client stakeholders to guide statistical approaches, review analytical products, and support evidence-based decision making.
Serve as the lead biostatistical advisor across surveillance, research, evaluation, and advanced analytics initiatives.
Lead development of statistical methodologies, Statistical Analysis Plans (SAPs), analytic protocols, sampling approaches, weighting methodologies, and population estimation strategies.
Provide technical oversight and peer review for statistical analyses, analytic code, modeling approaches, assumptions, and interpretation of findings.
Design and oversee complex analyses of surveillance, survey, claims, clinical, registry, laboratory, and other real-world health datasets.
Guide methodological decisions related to study design, causal inference, quasi-experimental methods, observational studies, and evaluation frameworks.
Lead development and validation of statistical models, surveillance indicators, outcome measures, performance metrics, and population-level estimates.
Partner with epidemiologists, researchers, and data scientists to translate research and policy questions into statistically rigorous analytic approaches.
Evaluate and address methodological considerations including bias, confounding, missing data, selection effects, variance estimation, and statistical uncertainty.
Review and approve statistical deliverables, technical reports, publications, presentations, and dissemination products prior to release.
Lead interpretation and communication of statistical findings to technical, scientific, operational, and executive stakeholders.
Mentor and provide technical leadership to biostatisticians, epidemiologists, analysts, and data scientists.
Contribute to proposal development, solution design, thought leadership, and business development activities requiring advanced statistical expertise.
Role is contingent upon contract award
What You Will Need:
Must be a U.S. Citizen or Permanent Resident. and ability to obtain and maintain a Public Trust clearance.
Master's degree or PhD in Biostatistics, Statistics, Epidemiology (quantitative focus), Mathematics, or related quantitative discipline.
EIGHT (8) or more years of professional experience applying advanced biostatistical methods within public health, healthcare, surveillance, clinical research, life sciences, or population health environments.
Experience serving as a lead statistician, technical lead, senior reviewer, or methodological advisor for complex analytics, surveillance, evaluation, or research initiatives.
Experience in statistical inference, hypothesis testing, study design, power analysis, sample size determination, variance estimation, and population-level inference.
Experience in applying advanced statistical methodologies including generalized linear models, mixed-effects models, multilevel/hierarchical models, survival analysis, longitudinal modeling, interrupted time series (ITS), difference-in-differences (DiD), propensity score methods, causal inference techniques, survey-weighted analyses, variance estimation, missing data methods, sensitivity analyses, and population-level estimation.
Experience designing and analyzing studies utilizing complex survey designs, including stratification, clustering, weighting, nonresponse adjustment, and variance estimation.
Experience in statistical programming using SAS and at least one additional statistical language such as R or Python.
Experience developing and reviewing Statistical Analysis Plans (SAPs), methodology documents, study protocols, publication-quality analyses, and scientific manuscripts.
Experience reviewing analytic code, statistical outputs, and analytical approaches for methodological accuracy, reproducibility, and scientific rigor.
Experience working with large-scale surveillance, claims, clinical, registry, laboratory, electronic health record (EHR), or observational health datasets.
Experience leading technical workstreams and mentoring multidisciplinary analytic teams.
What Would Be Nice To Have:
PhD in Biostatistics, Statistics, Epidemiology, or related quantitative discipline.
Strong understanding of epidemiologic methods and application of biostatistics to surveillance, public health research, and program evaluation.
Proven ability to communicate complex statistical concepts and findings to both technical and non-technical audiences.
Experience serving as lead statistician or senior methodological reviewer for large public health, healthcare, or research programs.
Experience with Bayesian statistical methods, hierarchical Bayesian modeling, machine learning, predictive modeling, or AI-enabled analytics.
Experience conducting real-world evidence (RWE) studies using observational healthcare datasets.
Experience supporting federal public health agencies, healthcare organizations, or biomedical research programs.
Experience developing weighting methodologies and population estimation approaches for surveillance, survey, or public health studies.
Experience supporting peer-reviewed scientific publications and conference presentations.
Experience with cloud analytics environments such as Databricks, Snowflake, Azure, AWS, or Palantir Foundry.
Experience supporting SAS-to-R or SAS-to-Python migration and statistical validation efforts.
Experience with HIV surveillance processes and data.
Experience working with state public health agencies.
Experience leading multidisciplinary analytic teams in consulting, research, or government environments.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus
About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
What Guidehouse employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Guidehouse
Sourced by ZipRecruiter
Industry
Business management consulting
Company size
10,000+ Employees
Headquarters location
Falls Church, VA, US
Year founded
2005